Testing for statistical and market efficiency when forecast errors are non-normal: The National Football League betting market revisited

Testing for statistical and market efficiency when forecast errors are non-normal: The National Football League betting market revisited

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Article ID: iaor20014254
Country: United Kingdom
Volume: 19
Issue: 7
Start Page Number: 575
End Page Number: 586
Publication Date: Dec 2000
Journal: International Journal of Forecasting
Authors: , ,
Keywords: sports
Abstract:

The paper examines the efficiency of the National Football League (NFL) betting market. Previous econometric work on the subject has been based on least squares estimators, and has been marred by non-normal errors, which have cast doubt on standard hypothesis testing procedures. It is found that the negative binomial distribution provides a good description of points scored in NFL football games, but no significant departures from market efficiency were discovered.

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